Mon, 02 Jun 2025

Package tinyplot updated to version 0.4.1 with previous version 0.4.0 dated 2025-05-22

Title: Lightweight Extension of the Base R Graphics System
Description: Lightweight extension of the base R graphics system, with support for automatic legends, facets, themes, and various other enhancements.
Author: Grant McDermott [aut, cre] , Vincent Arel-Bundock [aut] , Achim Zeileis [aut] , Etienne Bacher [ctb]
Maintainer: Grant McDermott <gmcd@amazon.com>

Diff between tinyplot versions 0.4.0 dated 2025-05-22 and 0.4.1 dated 2025-06-02

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Package RNAmf updated to version 1.1.0 with previous version 1.0.1 dated 2025-03-25

Title: Recursive Non-Additive Emulator for Multi-Fidelity Data
Description: Performs RNA emulation and active learning proposed by Heo and Sung (2025) <doi:10.1080/00401706.2024.2376173> for multi-fidelity computer experiments. The RNA emulator is particularly useful when the simulations with different fidelity level are nonlinearly correlated. The hyperparameters in the model are estimated by maximum likelihood estimation.
Author: Junoh Heo [aut, cre], Chih-Li Sung [aut]
Maintainer: Junoh Heo <heojunoh@msu.edu>

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Package spcosa updated to version 0.4-3 with previous version 0.4-2 dated 2023-04-11

Title: Spatial Coverage Sampling and Random Sampling from Compact Geographical Strata
Description: Spatial coverage sampling and random sampling from compact geographical strata created by k-means. See Walvoort et al. (2010) <doi:10.1016/j.cageo.2010.04.005> for details.
Author: Dennis Walvoort [aut, cre, cph] , Dick Brus [aut, cph] , Jaap de Gruijter [aut, cph]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>

Diff between spcosa versions 0.4-2 dated 2023-04-11 and 0.4-3 dated 2025-06-02

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Package eva3dm updated to version 1.11 with previous version 0.99.1 dated 2024-11-25

Title: Evaluation of 3D Meteorological and Air Quality Models
Description: Provides tools for post-process, evaluate and visualize results from 3d Meteorological and Air Quality models against point observations (i.e. surface stations) and grid (i.e. satellite) observations.
Author: Daniel Schuch [aut, cre]
Maintainer: Daniel Schuch <underschuch@gmail.com>

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Package yyjsonr updated to version 0.1.21 with previous version 0.1.20 dated 2024-04-10

Title: Fast 'JSON', 'NDJSON' and 'GeoJSON' Parser and Generator
Description: A fast 'JSON' parser, generator and validator which converts 'JSON', 'NDJSON' (Newline Delimited 'JSON') and 'GeoJSON' (Geographic 'JSON') data to/from R objects. The standard R data types are supported (e.g. logical, numeric, integer) with configurable handling of NULL and NA values. Data frames, atomic vectors and lists are all supported as data containers translated to/from 'JSON'. 'GeoJSON' data is read in as 'simple features' objects. This implementation wraps the 'yyjson' 'C' library which is available from <https://github.com/ibireme/yyjson>.
Author: Mike Cheng [aut, cre, cph], Yao Yuan [aut, cph] , Murat Tasan [ctb]
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>

Diff between yyjsonr versions 0.1.20 dated 2024-04-10 and 0.1.21 dated 2025-06-02

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Package caviarpd updated to version 0.3.20 with previous version 0.3.16 dated 2025-04-07

Title: Cluster Analysis via Random Partition Distributions
Description: Cluster analysis is performed using pairwise distance information and a random partition distribution. The method is implemented for two random partition distributions. It draws samples and then obtains and plots clustering estimates. An implementation of a selection algorithm is provided for the mass parameter of the partition distribution. Since pairwise distances are the principal input to this procedure, it is most comparable to the hierarchical and k-medoids clustering methods. The method is Dahl, Andros, Carter (2022+) <doi:10.1002/sam.11602>.
Author: David B. Dahl [aut, cre] , R. Jacob Andros [aut] , J. Brandon Carter [aut] , Alex Crichton [ctb] , Brendan Zabarauskas [ctb] , David B. Dahl [ctb] , David Tolnay [ctb] , Jim Turner [ctb] , Jorge Aparicio [ctb] , Josh Stone [ctb] , Mikhail Vorotilov [ [...truncated...]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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Package poisbinom updated to version 1.0.2 with previous version 1.0.1 dated 2017-05-19

Title: A Faster Implementation of the Poisson-Binomial Distribution
Description: Provides the probability, distribution, and quantile functions and random number generator for the Poisson-Binomial distribution. This package relies on FFTW to implement the discrete Fourier transform, so that it is much faster than the existing implementation of the same algorithm in R.
Author: Santiago Olivella [aut, cre], Yuki Shiraito [aut]
Maintainer: Santiago Olivella <olivella@unc.edu>

Diff between poisbinom versions 1.0.1 dated 2017-05-19 and 1.0.2 dated 2025-06-02

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Package nascaR.data updated to version 2.2.2 with previous version 2.2.1 dated 2025-05-15

Title: NASCAR Race Data
Description: A collection of NASCAR race, driver, owner and manufacturer data across the three major NASCAR divisions: NASCAR Cup Series, NASCAR Xfinity Series, and NASCAR Craftsman Truck Series. The curated data begins with the 1949 season and extends through the end of the 2024 season. Explore race, season, or career performance for drivers, teams, and manufacturers throughout NASCAR's history. Data was sourced with permission from DriverAverages.com.
Author: Kyle Grealis [aut, cre] , Nick Triplett [ctb], Gabriel Odom [ctb]
Maintainer: Kyle Grealis <kylegrealis@icloud.com>

Diff between nascaR.data versions 2.2.1 dated 2025-05-15 and 2.2.2 dated 2025-06-02

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New package hgutils with initial version 0.2.19
Package: hgutils
Title: Collection of Utility Functions
Version: 0.2.19
Date: 2025-06-02
Description: A handy collection of utility functions designed to aid in package development, plotting and scientific research. Package development functionalities includes among others tools such as cross-referencing package imports with the description file, analysis of redundant package imports, editing of the description file and the creation of package badges for GitHub. Some of the other functionalities include automatic package installation and loading, plotting points without overlap, creating nice breaks for plots, overview tables and many more handy utility functions.
License: GPL-3
URL: https://github.com/hvdboorn/hgutils
BugReports: https://github.com/hvdboorn/hgutils/issues
Depends: R (>= 4.4.0)
Imports: crayon, dplyr, grDevices, lubridate, magrittr, methods, stats, stringr, utils
Suggests: testthat
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2025-06-02 19:53:48 UTC; Windows
Author: H.G. van den Boorn [aut, cre]
Maintainer: H.G. van den Boorn <hvdboorn@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-02 21:20:02 UTC

More information about hgutils at CRAN
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Package vectorsurvR updated to version 1.4.0 with previous version 1.3.2 dated 2025-04-22

Title: Data Access and Analytical Tools for 'VectorSurv' Users
Description: Allows registered 'VectorSurv' <https://vectorsurv.org/> users access to data through the 'VectorSurv API' <https://api.vectorsurv.org/>. Additionally provides functions for analysis and visualization.
Author: Christina De Cesaris [aut, cre]
Maintainer: Christina De Cesaris <cmdecesaris@ucdavis.edu>

Diff between vectorsurvR versions 1.3.2 dated 2025-04-22 and 1.4.0 dated 2025-06-02

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Package parallelly updated to version 1.45.0 with previous version 1.44.0 dated 2025-05-07

Title: Enhancing the 'parallel' Package
Description: Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Author: Henrik Bengtsson [aut, cre, cph] , Mike Cheng [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between parallelly versions 1.44.0 dated 2025-05-07 and 1.45.0 dated 2025-06-02

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Permanent link

Package gWidgets2tcltk updated to version 1.0-9 with previous version 1.0-8 dated 2022-02-16

Title: Toolkit Implementation of gWidgets2 for tcltk
Description: Port of the 'gWidgets2' API for the 'tcltk' package.
Author: John Verzani [aut, cre]
Maintainer: John Verzani <jverzani@gmail.com>

Diff between gWidgets2tcltk versions 1.0-8 dated 2022-02-16 and 1.0-9 dated 2025-06-02

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More information about gWidgets2tcltk at CRAN
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Package banditpam updated to version 1.0-2 with previous version 1.0-1 dated 2023-03-15

Title: Almost Linear-Time k-Medoids Clustering
Description: Interface to a high-performance implementation of k-medoids clustering described in Tiwari, Zhang, Mayclin, Thrun, Piech and Shomorony (2020) "BanditPAM: Almost Linear Time k-medoids Clustering via Multi-Armed Bandits" <https://proceedings.neurips.cc/paper/2020/file/73b817090081cef1bca77232f4532c5d-Paper.pdf>.
Author: Balasubramanian Narasimhan [aut, cre], Mo Tiwari [aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

Diff between banditpam versions 1.0-1 dated 2023-03-15 and 1.0-2 dated 2025-06-02

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More information about banditpam at CRAN
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Package shelter updated to version 0.2.1 with previous version 0.2.0 dated 2025-05-29

Title: Support for Secure API Key Management
Description: Secure handling of API keys can be difficult. This package provides secure convenience functions for entering / handling API keys and opening connections via inversion of control on those keys. Works seamlessly between production and developer environments.
Author: Benjamin Nutter [ctb, aut], Shawn Garbett [cre, ctb] , Hui Wu [aut], Cole Beck [aut], Savannah Obregon [aut]
Maintainer: Shawn Garbett <Shawn.Garbett@vumc.org>

Diff between shelter versions 0.2.0 dated 2025-05-29 and 0.2.1 dated 2025-06-02

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New package RSDA with initial version 3.2.4
Package: RSDA
Title: R to Symbolic Data Analysis
Version: 3.2.4
Date: 2025-06-02
Description: Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.4)
URL: https://oldemarrodriguez.com/
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
Imports: vctrs (>= 0.2.4), dplyr (>= 0.8.5), forcats, scales, stringr, rlang (>= 0.4.5), purrr, magrittr, tidyselect, tibble (>= 3.0.0), stats, RJSONIO, XML, ggplot2, ggpolypath, reshape, glmnet, FactoMineR, princurve, nloptr, sqldf, randomcoloR, kknn, e1071, gbm, randomForest, rpart, neuralnet, umap, xtable, plotly, ggrepel
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-02 14:38:47 UTC; r583594
Author: Oldemar Rodriguez [aut, cre], Jose Emmanuel Chacon [cph], Carlos Aguero [cph], Jorge Arce [cph]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2025-06-02 19:10:02 UTC

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Package calidad updated to version 0.8.1 with previous version 0.8.0 dated 2025-04-15

Title: Assesses the Quality of Estimates Made by Complex Sample Designs
Description: Assesses the quality of estimates made by complex sample designs, following the methodology developed by the National Institute of Statistics Chile (Household Survey Standard 2020, <https://www.ine.cl/docs/default-source/institucionalidad/buenas-pr%C3%A1cticas/clasificaciones-y-estandares/est%C3%A1ndar-evaluaci%C3%B3n-de-calidad-de-estimaciones-publicaci%C3%B3n-27022020.pdf>), (Economics Survey Standard 2024, <https://www.ine.gob.cl/docs/default-source/buenas-practicas/directrices-metodologicas/estandares/documentos/est%C3%A1ndar-evaluaci%C3%B3n-de-calidad-de-estimaciones-econ%C3%B3micas.pdf?sfvrsn=201fbeb9_2>) and by Economic Commission for Latin America and Caribbean (2020, <https://repositorio.cepal.org/bitstream/handle/11362/45681/1/S2000293_es.pdf>), (2024, <https://repositorio.cepal.org/server/api/core/bitstreams/f04569e6-4f38-42e7-a32b-e0b298e0ab9c/content>).
Author: Klaus Lehmann [aut, cre], Ricardo Pizarro [aut], Ignacio Agloni [ctb], Andrea Lopez [ctb], Javiera Preuss [ctb]
Maintainer: Klaus Lehmann <klehmann@fen.uchile.cl>

Diff between calidad versions 0.8.0 dated 2025-04-15 and 0.8.1 dated 2025-06-02

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Package cubature updated to version 2.1.4 with previous version 2.1.3 dated 2025-05-20

Title: Adaptive Multivariate Integration over Hypercubes
Description: R wrappers around the cubature C library of Steven G. Johnson for adaptive multivariate integration over hypercubes and the Cuba C library of Thomas Hahn for deterministic and Monte Carlo integration. Scalar and vector interfaces for cubature and Cuba routines are provided; the vector interfaces are highly recommended as demonstrated in the package vignette.
Author: Balasubramanian Narasimhan [aut, cre], Manuel Koller [ctb], Dirk Eddelbuettel [ctb], Steven G. Johnson [aut], Thomas Hahn [aut], Annie Bouvier [aut], Kien Kieu [aut], Simen Gaure [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stat.stanford.edu>

Diff between cubature versions 2.1.3 dated 2025-05-20 and 2.1.4 dated 2025-06-02

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Package Coxmos updated to version 1.1.3 with previous version 1.1.2 dated 2025-03-05

Title: Cox MultiBlock Survival
Description: This software package provides Cox survival analysis for high-dimensional and multiblock datasets. It encompasses a suite of functions dedicated from the classical Cox regression to newest analysis, including Cox proportional hazards model, Stepwise Cox regression, and Elastic-Net Cox regression, Sparse Partial Least Squares Cox regression (sPLS-COX) incorporating three distinct strategies, and two Multiblock-PLS Cox regression (MB-sPLS-COX) methods. This tool is designed to adeptly handle high-dimensional data, and provides tools for cross-validation, plot generation, and additional resources for interpreting results. While references are available within the corresponding functions, key literature is mentioned below. Terry M Therneau (2024) <https://CRAN.R-project.org/package=survival>, Noah Simon et al. (2011) <doi:10.18637/jss.v039.i05>, Philippe Bastien et al. (2005) <doi:10.1016/j.csda.2004.02.005>, Philippe Bastien (2008) <doi:10.1016/j.chemolab.2007.09.009& [...truncated...]
Author: Pedro Salguero Garcia [aut, cre, rev] , Sonia Tarazona Campos [ths], Ana Conesa Cegarra [ths], Kassu Mehari Beyene [ctb], Luis Meira Machado [ctb], Marta Sestelo [ctb], Artur Araujo [ctb]
Maintainer: Pedro Salguero Garcia <pedrosalguerog@gmail.com>

Diff between Coxmos versions 1.1.2 dated 2025-03-05 and 1.1.3 dated 2025-06-02

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More information about Coxmos at CRAN
Permanent link

Package SSDforR updated to version 2.0 with previous version 1.5.42 dated 2025-04-19

Title: Functions to Analyze Single System Data
Description: Functions to visually and statistically analyze single system data.
Author: Charles Auerbach [aut, cre], Wendy Zeitlin [aut]
Maintainer: Charles Auerbach <auerbach@yu.edu>

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Package lsm updated to version 0.2.1.5 with previous version 0.2.1.4 dated 2024-06-08

Title: Estimation of the log Likelihood of the Saturated Model
Description: When the values of the outcome variable Y are either 0 or 1, the function lsm() calculates the estimation of the log likelihood in the saturated model. This model is characterized by Llinas (2006, ISSN:2389-8976) in section 2.3 through the assumptions 1 and 2. The function LogLik() works (almost perfectly) when the number of independent variables K is high, but for small K it calculates wrong values in some cases. For this reason, when Y is dichotomous and the data are grouped in J populations, it is recommended to use the function lsm() because it works very well for all K.
Author: Jorge Villalba [aut, cre] , Humberto Llinas [aut] , Omar Fabregas [aut]
Maintainer: Jorge Villalba <jvillalba@utb.edu.co>

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Package shrinkTVP updated to version 3.1.0 with previous version 3.0.1 dated 2024-02-18

Title: Efficient Bayesian Inference for Time-Varying Parameter Models with Shrinkage
Description: Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of time-varying parameter models with shrinkage priors, both dynamic and static. Details on the algorithms used are provided in Bitto and Frühwirth-Schnatter (2019) <doi:10.1016/j.jeconom.2018.11.006> and Cadonna et al. (2020) <doi:10.3390/econometrics8020020> and Knaus and Frühwirth-Schnatter (2023) <doi:10.48550/arXiv.2312.10487>. For details on the package, please see Knaus et al. (2021) <doi:10.18637/jss.v100.i13>. For the multivariate extension, see the 'shrinkTVPVAR' package.
Author: Peter Knaus [aut, cre] , Angela Bitto-Nemling [aut], Annalisa Cadonna [aut] , Sylvia Fruehwirth-Schnatter [aut] , Daniel Winkler [ctb], Kemal Dingic [ctb]
Maintainer: Peter Knaus <peter.knaus@wu.ac.at>

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Package condathis updated to version 0.1.2 with previous version 0.1.1 dated 2025-01-23

Title: Run Any CLI Tool on a 'Conda' Environment
Description: Simplifies the execution of command line interface (CLI) tools within isolated and reproducible environments. It enables users to effortlessly manage 'Conda' environments, execute command line tools, handle dependencies, and ensure reproducibility in their data analysis workflows.
Author: Lucio Queiroz [aut, cre, cph] , Claudio Zanettini [aut, ctb]
Maintainer: Lucio Queiroz <luciorqueiroz@gmail.com>

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Package aka updated to version 0.2.0 with previous version 0.1.0 dated 2024-07-22

Title: Define Aliases for R Expressions
Description: Create aliases for other R names or arbitrarily complex R expressions. Accessing the alias acts as-if the aliased expression were invoked instead, and continuously reflects the current value of that expression: updates to the original expression will be reflected in the alias; and updates to the alias will automatically be reflected in the original expression.
Author: Konrad Rudolph [cre, aut]
Maintainer: Konrad Rudolph <konrad.rudolph@gmail.com>

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Package mvord updated to version 1.2.6 with previous version 1.2.5 dated 2024-08-30

Title: Multivariate Ordinal Regression Models
Description: A flexible framework for fitting multivariate ordinal regression models with composite likelihood methods. Methodological details are given in Hirk, Hornik, Vana (2020) <doi:10.18637/jss.v093.i04>.
Author: Rainer Hirk [aut], Kurt Hornik [aut] , Laura Vana [aut, cre] , Alan Gentz [ctb]
Maintainer: Laura Vana <laura.vana@tuwien.ac.at>

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Package MSCA updated to version 1.1.1 with previous version 1.0 dated 2025-02-19

Title: Unsupervised Clustering of Multiple Censored Time-to-Event Endpoints
Description: Provides basic tools and wrapper functions for computing clusters of instances described by multiple time-to-event censored endpoints. From long-format datasets, where one instance is described by one or more dated records, the main function, `make_state_matrices()`, creates state matrices. Based on these matrices, optimised procedures using the Jaccard distance between instances enable the construction of longitudinal typologies. The package is under active development, with additional tools for graphical representation of typologies planned. For methodological details, see our accompanying paper: `Delord M, Douiri A (2025) <doi:10.1186/s12874-025-02476-7>`.
Author: Marc Delord [aut, cre]
Maintainer: Marc Delord <mdelord@gmail.com>

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Package messydates updated to version 0.5.4 with previous version 0.5.3 dated 2025-03-20

Title: A Flexible Class for Messy Dates
Description: Contains a set of tools for constructing and coercing into and from the "mdate" class. This date class implements ISO 8601-2:2019(E) and allows regular dates to be annotated to express unspecified date components, approximate or uncertain date components, date ranges, and sets of dates. This is useful for describing and analysing temporal information, whether historical or recent, where date precision may vary.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Jael Tan [ctb] , Nathan Werth [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package tripack updated to version 1.3-9.3 with previous version 1.3-9.2 dated 2024-10-21

Title: Triangulation of Irregularly Spaced Data
Description: A constrained two-dimensional Delaunay triangulation package providing both triangulation and generation of voronoi mosaics of irregular spaced data. Please note that most of the functions are now also covered in package interp, which is a re-implementation from scratch under a free license based on a different triangulation algorithm.
Author: Albrecht Gebhardt [aut, cre, cph] , R. J. Renka [aut] , Stephen Eglen [aut, cph] , Sergej Zuyev [aut, cph] , Denis White [aut, cph]
Maintainer: Albrecht Gebhardt <albrecht.gebhardt@aau.at>

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Package qtl2 updated to version 0.38 with previous version 0.36 dated 2024-05-13

Title: Quantitative Trait Locus Mapping in Experimental Crosses
Description: Provides a set of tools to perform quantitative trait locus (QTL) analysis in experimental crosses. It is a reimplementation of the 'R/qtl' package to better handle high-dimensional data and complex cross designs. Broman et al. (2019) <doi:10.1534/genetics.118.301595>.
Author: Karl W Broman [aut, cre] , R Core Team [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package psychonetrics updated to version 0.13.1 with previous version 0.13 dated 2024-06-20

Title: Structural Equation Modeling and Confirmatory Network Analysis
Description: Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data <doi:10.31234/osf.io/8ha93>. Allows for confirmatory testing and fit as well as exploratory model search.
Author: Sacha Epskamp [aut, cre]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package nexus updated to version 0.6.0 with previous version 0.5.0 dated 2025-04-07

Title: Sourcing Archaeological Materials by Chemical Composition
Description: Exploration and analysis of compositional data in the framework of Aitchison (1986, ISBN: 978-94-010-8324-9). This package provides tools for chemical fingerprinting and source tracking of ancient materials.
Author: Nicolas Frerebeau [aut, cre] , Anne Philippe [aut] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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New package INLAtools with initial version 0.0.1
Package: INLAtools
Title: Functionalities for the 'INLA' Package
Version: 0.0.1
Maintainer: Elias Teixeira Krainski <eliaskrainski@gmail.com>
Description: Contain code to work with latent Gaussian Markov random field (GMRF) models. Queries for the 'cgeneric' interface, specified as a way to implement new GMRF models to be fitted as model components in the 'INLA' package (<https://www.r-inla.org>). The implemented functionalities leverage the use of 'cgeneric' models and provide a way to debug the code as well to work with the prior for the model parameters and to sample from it. A Kronecker product method is also implemented to work with the four possible combinations between a 'cgeneric' and a 'rgeneric' model.
Additional_repositories: https://inla.r-inla-download.org/R/testing
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
Depends: R (>= 4.3), Matrix
Imports: methods, utils
Suggests: INLA (>= 24.02.09)
BuildVignettes: true
Packaged: 2025-06-02 08:34:09 UTC; eliask
Author: Elias Teixeira Krainski [cre, aut, cph] , Haavard Rue’ [aut]
Repository: CRAN
Date/Publication: 2025-06-02 13:02:13 UTC

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Package gbm2sas updated to version 4.0 with previous version 3.0 dated 2024-01-23

Title: Convert GBM Object Trees to SAS Code
Description: Writes SAS code to get predicted values from every tree of a gbm.object.
Author: John R. Dixon [aut, cre]
Maintainer: John R. Dixon <gbm2sas@gmail.com>

Diff between gbm2sas versions 3.0 dated 2024-01-23 and 4.0 dated 2025-06-02

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Package denim updated to version 1.2.1 with previous version 1.2.0 dated 2025-05-30

Title: Generate and Simulate Deterministic Discrete-Time Compartmental Models
Description: R package to build and simulate deterministic discrete-time compartmental models that can be non-Markov. Length of stay in each compartment can be defined to follow a parametric distribution (d_exponential(), d_gamma(), d_weibull(), d_lognormal()) or a non-parametric distribution (nonparametric()). Other supported types of transition from one compartment to another includes fixed transition (constant()), multinomial (multinomial()), fixed transition probability (transprob()).
Author: Thinh Ong [aut, cph] , Anh Phan [aut, cre] , Marc Choisy [aut] , Niels Lohman [ctb], Bjoern Hoehrmann [ctb], Florian Loitsch [ctb], Ingo Berg [ctb]
Maintainer: Anh Phan <anhptq@oucru.org>

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Package akima updated to version 0.6-3.6 with previous version 0.6-3.4 dated 2022-04-28

Title: Interpolation of Irregularly and Regularly Spaced Data
Description: Several cubic spline interpolation methods of H. Akima for irregular and regular gridded data are available through this package, both for the bivariate case (irregular data: ACM 761, regular data: ACM 760) and univariate case (ACM 433 and ACM 697). Linear interpolation of irregular gridded data is also covered by reusing D. J. Renkas triangulation code which is part of Akimas Fortran code. A bilinear interpolator for regular grids was also added for comparison with the bicubic interpolator on regular grids. Please note that most of the functions are now also covered in package interp, which is a re-implementation from scratch under a free license.
Author: Hiroshi Akima [aut, cph] ), Albrecht Gebhardt [aut, cre, cph] , bilinear code), Thomas Petzold [ctb, cph] , Martin Maechler [ctb, cph] , YYYY Association for Computing Machinery, Inc. [cph]
Maintainer: Albrecht Gebhardt <albrecht.gebhardt@aau.at>

Diff between akima versions 0.6-3.4 dated 2022-04-28 and 0.6-3.6 dated 2025-06-02

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Package ssmodels updated to version 2.0.1 with previous version 2.0.0 dated 2025-06-01

Title: Sample Selection Models
Description: In order to facilitate the adjustment of the sample selection models existing in the literature, we created the 'ssmodels' package. Our package allows the adjustment of the classic Heckman model (Heckman (1976), Heckman (1979) <doi:10.2307/1912352>), and the estimation of the parameters of this model via the maximum likelihood method and two-step method, in addition to the adjustment of the Heckman-t models introduced in the literature by Marchenko and Genton (2012) <doi:10.1080/01621459.2012.656011> and the Heckman-Skew model introduced in the literature by Ogundimu and Hutton (2016) <doi:10.1111/sjos.12171>. We also implemented functions to adjust the generalized version of the Heckman model, introduced by Bastos, Barreto-Souza, and Genton (2021) <doi:10.5705/ss.202021.0068>, that allows the inclusion of covariables to the dispersion and correlation parameters, and a function to adjust the Heckman-BS model introduced by Bastos and Barreto-Souza (2020) <doi: [...truncated...]
Author: Fernando de Souza Bastos [aut, cre], Wagner Barreto de Souza [aut]
Maintainer: Fernando de Souza Bastos <fernando.bastos@ufv.br>

Diff between ssmodels versions 2.0.0 dated 2025-06-01 and 2.0.1 dated 2025-06-02

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Package sorcering updated to version 1.2.0 with previous version 1.1.0 dated 2024-10-09

Title: Soil Organic Carbon and CN Ratio Driven Nitrogen Modelling Framework
Description: Can be used to model the fate of soil organic carbon and soil organic nitrogen and to calculate N mineralisation rates. Provides a framework that numerically solves differential equations of soil organic carbon models based on first-order kinetics and extends these models to include the nitrogen component. The name 'sorcering' is an acronym for 'Soil ORganic Carbon & CN Ratio drIven Nitrogen modellinG framework'.
Author: Marc Scherstjanoi [aut, cre], Rene Dechow [aut]
Maintainer: Marc Scherstjanoi <marc.scherstjanoi@thuenen.de>

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Package Qval updated to version 1.2.3 with previous version 1.2.2 dated 2025-05-02

Title: The Q-Matrix Validation Methods Framework
Description: Provide a variety of Q-matrix validation methods for the generalized cognitive diagnosis models, including the method based on the generalized deterministic input, noisy, and gate model (G-DINA) by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> discrimination index (the GDI method) by de la Torre and Chiu (2016) <DOI:10.1007/s11336-015-9467-8>, the Hull method by Najera et al. (2021) <DOI:10.1111/bmsp.12228>, the stepwise Wald test method (the Wald method) by Ma and de la Torre (2020) <DOI:10.1111/bmsp.12156>, the multiple logistic regression‑based Q‑matrix validation method (the MLR-B method) by Tu et al. (2022) <DOI:10.3758/s13428-022-01880-x>, the beta method based on signal detection theory by Li and Chen (2024) <DOI:10.1111/bmsp.12371> and Q-matrix validation based on relative fit index by Chen et al. (2013) <DOI:10.1111/j.1745-3984.2012.00185.x>. Different research methods and iterative procedures during Q-matrix validating are availa [...truncated...]
Author: Haijiang Qin [aut, cre, cph] , Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>

Diff between Qval versions 1.2.2 dated 2025-05-02 and 1.2.3 dated 2025-06-02

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Package karaoke updated to version 3.0 with previous version 2.0 dated 2024-01-23

Title: Remove Vocals from a Song
Description: Attempts to remove vocals from a stereo '.wav' recording of a song.
Author: John R. Dixon [aut, cre]
Maintainer: John R. Dixon <gbm2sas@gmail.com>

Diff between karaoke versions 2.0 dated 2024-01-23 and 3.0 dated 2025-06-02

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Package HeckmanEM updated to version 0.2-2 with previous version 0.2-1 dated 2024-04-07

Title: Fit Normal, Student-t or Contaminated Normal Heckman Selection Models
Description: It performs maximum likelihood estimation for the Heckman selection model (Normal, Student-t or Contaminated normal) using an EM-algorithm <doi:10.1016/j.jmva.2021.104737>. It also performs influence diagnostic through global and local influence for four possible perturbation schema.
Author: Marcos Prates [aut, cre, trl] , Victor Lachos [aut] , Dipak Dey [aut], Marcos Oliveira [aut, ctb], Christian Galarza [ctb], Katherine Loor [ctb], Alejandro Ordonez [ctb]
Maintainer: Marcos Prates <marcosop@est.ufmg.br>

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Package lidR updated to version 4.2.1 with previous version 4.2.0 dated 2025-05-28

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] , Florian De Boissieu [ctb] , Andrew Sanchez Meador [ctb] for segment_snags), Bourdon Jean-Francois [ctb] for track_sensor), Gatziolis Demetrios [ctb] for track_sensor), Leon Steinmeier [c [...truncated...]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

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Package glmnet updated to version 4.1-9 with previous version 4.1-8 dated 2023-08-21

Title: Lasso and Elastic-Net Regularized Generalized Linear Models
Description: Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression, Cox model, multiple-response Gaussian, and the grouped multinomial regression; see <doi:10.18637/jss.v033.i01> and <doi:10.18637/jss.v039.i05>. There are two new and important additions. The family argument can be a GLM family object, which opens the door to any programmed family (<doi:10.18637/jss.v106.i01>). This comes with a modest computational cost, so when the built-in families suffice, they should be used instead. The other novelty is the relax option, which refits each of the active sets in the path unpenalized. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the papers cited.
Author: Jerome Friedman [aut], Trevor Hastie [aut, cre], Rob Tibshirani [aut], Balasubramanian Narasimhan [aut], Kenneth Tay [aut], Noah Simon [aut], Junyang Qian [ctb], James Yang [aut]
Maintainer: Trevor Hastie <hastie@stanford.edu>

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Package duckdb updated to version 1.3.0 with previous version 1.2.2 dated 2025-04-29

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package AMR updated to version 3.0.0 with previous version 2.1.1 dated 2023-10-21

Title: Antimicrobial Resistance Data Analysis
Description: Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by using evidence-based methods, as described in <doi:10.18637/jss.v104.i03>.
Author: Matthijs S. Berends [aut, cre] , Dennis Souverein [aut, ctb] , Erwin E. A. Hassing [aut, ctb], Aislinn Cook [ctb] , Andrew P. Norgan [ctb] , Anita Williams [ctb] , Annick Lenglet [ctb] , Anthony Underwood [ctb] , Anton Mymrikov [ctb], Bart C. Meijer [...truncated...]
Maintainer: Matthijs S. Berends <m.s.berends@umcg.nl>

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2023-06-30 1.0.11
2023-02-17 1.0.10

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2023-07-07 0.5-4
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2023-12-12 0.2.5
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2022-02-18 0.2.2
2022-02-03 0.2.1
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2021-04-21 0.1.1
2020-09-17 0.1.0

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2017-01-16 1.5.5.2
2014-11-03 1.5.5.1
2013-07-02 1.5.5
2013-04-24 1.5.4
2012-04-19 1.5.3
2010-04-06 1.5.2
2009-10-11 1.5.1
2009-04-20 1.5
2009-04-15 1.4
2008-10-29 1.3
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2008-04-24 1.1

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Package fuzzyreg (with last version 0.6.2) was removed from CRAN

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2021-08-23 1.3.0

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2014-10-08 1.0-0
2012-04-24 0.5-0
2012-04-19 0.4-9

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New package structenforcement with initial version 0.1.3
Package: structenforcement
Title: Struct-Like Data Type Checking and Enforcement
Version: 0.1.3
Description: Enforcement of field types in lists. A drop-in tool to allow for dynamic input data that might be questionably parsed or cast to be coerced into the specific desired format in a reasonably performant manner.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: dplyr, lubridate, rlang
NeedsCompilation: yes
Packaged: 2025-05-29 16:10:52 UTC; yakumo
Author: Samuel Sapire [aut, cre, cph], Sean Barrett [ctb]
Maintainer: Samuel Sapire <sapires@protonmail.com>
Repository: CRAN
Date/Publication: 2025-06-02 09:10:02 UTC

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New package rsynthbio with initial version 1.0.0
Package: rsynthbio
Title: Synthesize Bio API Wrapper
Version: 1.0.0
Description: Access Synthesize Bio models from their API <https://app.synthesize.bio/> using this wrapper that provides a convenient interface to the Synthesize Bio API, allowing users to generate realistic gene expression data based on specified biological conditions. This package enables researchers to easily access AI-generated transcriptomic data for various modalities including bulk RNA-seq, single-cell RNA-seq, microarray data, and more.
URL: https://github.com/synthesizebio/rsynthbio
BugReports: https://github.com/synthesizebio/rsynthbio/issues
Imports: getPass, keyring, jsonlite, httr
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), mockery
Encoding: UTF-8
VignetteBuilder: knitr
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2025-05-29 20:24:38 UTC; candace
Author: Candace Savonen [aut, cre]
Maintainer: Candace Savonen <cansav09@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-02 09:20:02 UTC

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Package ccrs (with last version 0.1.0) was removed from CRAN

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2019-03-04 0.1.0

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2019-11-05 1.2-2
2015-07-05 1.2-1
2015-03-11 1.2-0
2015-01-20 1.1-4
2014-02-21 1.1-3
2013-05-02 1.1-2
2013-03-27 1.1-1
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2011-08-12 1.0-1
2011-01-10 1.0-0

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Package cds (with last version 1.0.4) was removed from CRAN

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Package LMest (with last version 3.2.5) was removed from CRAN

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2023-02-11 3.1.0
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Package MultiLCIRT (with last version 2.11) was removed from CRAN

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2013-08-15 2.5
2013-04-13 2.4
2013-03-03 2.3
2013-01-28 2.2
2012-12-11 2.1
2012-11-18 2.0
2012-06-25 1.0

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Package MLCOPULA (with last version 1.0.1) was removed from CRAN

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Package ScorePlus (with last version 0.1) was removed from CRAN

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2019-06-14 0.1

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2019-04-29 1.0.0

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2018-01-21 1.1.3
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2017-08-24 1.1.1
2017-08-14 1.1
2016-12-31 1.0
2015-02-27 0.5
2015-02-07 0.4
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2013-01-25 0.2
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Package EMMAgeo (with last version 0.9.8) was removed from CRAN

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Package Rquefts (with last version 1.2-4) was removed from CRAN

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Package EAinference (with last version 0.2.3) was removed from CRAN

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2017-12-01 0.2.3
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Package BisqueRNA (with last version 1.0.5) was removed from CRAN

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New package stanza with initial version 1.0-3
Package: stanza
Title: 'Stanza' - A 'R' NLP Package for Many Human Languages
Version: 1.0-3
Description: An interface to the 'Python' package 'stanza' <https://stanfordnlp.github.io/stanza/index.html>. 'stanza' is a 'Python' 'NLP' library for many human languages. It contains support for running various accurate natural language processing tools on 60+ languages.
License: GPL-3
Imports: checkmate, reticulate
Depends: NLP
SystemRequirements: R >= 4.0, Python >= 3.8, stanza >= 1.3.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-05-29 13:21:20 UTC; f
Author: Kurt Hornik [aut], Florian Schwendinger [aut, cre], Julian Amon [aut]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Repository: CRAN
Date/Publication: 2025-06-02 08:50:02 UTC

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Package MSCsimtester updated to version 1.1 with previous version 1.0.0 dated 2021-12-14

Title: Tests of Multispecies Coalescent Gene Tree Simulator Output
Description: Statistical tests for validating multispecies coalescent gene tree simulators, using pairwise distances and rooted triple counts. See Allman ES, Baños HD, Rhodes JA 2023. Testing multispecies coalescent simulators using summary statistics, IEEE/ACM Trans Comput Biol Bioinformat, 20(2):1613–1618. <doi:10.1109/TCBB.2022.3177956>.
Author: Elizabeth Allman [aut, cre, cph], Hector Banos [aut, cph], John Rhodes [aut, cph]
Maintainer: Elizabeth Allman <e.allman@alaska.edu>

Diff between MSCsimtester versions 1.0.0 dated 2021-12-14 and 1.1 dated 2025-06-02

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 MSCsimtester-1.1/MSCsimtester/man/pairwiseDist.Rd   |    7 +-
 11 files changed, 75 insertions(+), 64 deletions(-)

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New package lognGPD with initial version 0.1.0
Package: lognGPD
Title: Estimation of a Lognormal - Generalized Pareto Mixture
Version: 0.1.0
Description: Estimation of a lognormal - Generalized Pareto mixture via the Expectation-Maximization algorithm. Computation of bootstrap standard errors is supported and performed via parallel computing. Functions for random number simulation and density evaluation are also available. For more details see Bee and Santi (2025) <doi:10.48550/arXiv.2505.22507>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: evd, Rdpack, parallel, LNPar, EnvStats
URL: https://github.com/marco-bee/lognGPD
BugReports: https://github.com/marco-bee/lognGPD/issues
NeedsCompilation: no
Packaged: 2025-05-29 08:05:33 UTC; marco.bee
Author: Marco Bee [aut, cre]
Maintainer: Marco Bee <marco.bee@unitn.it>
Repository: CRAN
Date/Publication: 2025-06-02 08:50:05 UTC

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Package LearnNonparam updated to version 1.2.9 with previous version 1.2.8 dated 2025-04-29

Title: 'R6'-Based Flexible Framework for Permutation Tests
Description: Implements non-parametric tests from Higgins (2004, ISBN:0534387756), including tests for one sample, two samples, k samples, paired comparisons, blocked designs, trends and association. Built with 'Rcpp' for efficiency and 'R6' for flexible, object-oriented design, the package provides a unified framework for performing or creating custom permutation tests.
Author: Yan Du [aut, cre]
Maintainer: Yan Du <isduyan@outlook.com>

Diff between LearnNonparam versions 1.2.8 dated 2025-04-29 and 1.2.9 dated 2025-06-02

 DESCRIPTION                            |    8 ++++----
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 NEWS.md                                |    4 ++++
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 src/pmt_interface.cpp                  |   17 +++++++++++++----
 6 files changed, 32 insertions(+), 24 deletions(-)

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New package chess2plyrs with initial version 0.3.0
Package: chess2plyrs
Title: Chess Game Creation and Tools
Version: 0.3.0
Description: A chess program which allows the user to create a game, add moves, check for legal moves and game result, plot the board, take back, read and write FEN (Forsyth–Edwards Notation). A basic chess engine based on minimax is implemented.
Depends: R (>= 4.3.0)
Imports: stats, ggplot2 (>= 3.4.4)
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-05-29 08:16:26 UTC; luigi.annicchiaric00
Author: Luigi Annicchiarico [cre, aut]
Maintainer: Luigi Annicchiarico <luigi.annic@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-02 08:50:09 UTC

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Package neotoma2 (with last version 1.0.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2024-08-20 1.0.5
2024-07-28 1.0.4

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Package skedastic (with last version 2.0.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2024-01-08 2.0.2
2022-11-06 2.0.1
2022-02-21 1.0.4
2021-06-14 1.0.3

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Package utiml (with last version 0.1.7) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-05-31 0.1.7

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Package m5 (with last version 0.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2022-09-12 0.1.1

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Package RobustGaSP (with last version 0.6.6) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2024-02-08 0.6.6
2022-06-01 0.6.5
2022-01-04 0.6.4
2021-09-02 0.6.3
2021-05-17 0.6.2
2020-10-15 0.6.1
2020-07-09 0.6.0
2019-06-05 0.5.7
2018-09-11 0.5.6
2018-03-27 0.5.5
2018-01-03 0.5.4
2017-01-27 0.5.3
2016-09-16 0.5.2
2016-07-23 0.5

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Package LIM (with last version 1.4.7.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-05-15 1.4.7.2
2024-02-06 1.4.7.1
2022-05-11 1.4.7
2014-12-26 1.4.6
2014-01-13 1.4.5
2012-03-23 1.4.4
2011-03-23 1.4.2
2010-04-06 1.4.1
2009-10-11 1.4
2009-06-17 1.3
2009-01-20 1.2
2008-11-10 1.1

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Package bazar (with last version 1.0.11) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-03-15 1.0.11
2018-10-06 1.0.10
2018-07-31 1.0.9
2017-11-14 1.0.6
2017-06-25 0.1.6
2017-01-14 0.1.4

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Package gkwreg (with last version 1.0.7) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-05-01 1.0.7
2025-04-15 1.0.3

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Package flifo (with last version 0.1.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-07-31 0.1.5
2017-01-14 0.1.4

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Package RobustCalibration (with last version 0.5.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2024-05-30 0.5.5
2023-09-07 0.5.4
2022-09-18 0.5.3
2022-01-11 0.5.2
2018-05-14 0.5.1
2018-02-28 0.5.0

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Package birp (with last version 0.0.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-05-16 0.0.3

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Package WordOfMouth updated to version 1.2.0 with previous version 1.1.0 dated 2021-10-04

Title: Estimates Economic Variables for Word-of-Mouth-Campaigns
Description: Methods for estimating profit, profit-maximizing price, demand and consumer surplus of Word-of-Mouth-campaigns on mean-field networks.
Author: Michael Scholz [cre, aut], Thomas Woehner [aut], Ralf Peters [ctb]
Maintainer: Michael Scholz <michael.scholz@th-deg.de>

Diff between WordOfMouth versions 1.1.0 dated 2021-10-04 and 1.2.0 dated 2025-06-02

 DESCRIPTION                |   11 
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 NAMESPACE                  |    1 
 NEWS.md                    |   30 +-
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 man/WordOfMouth-package.Rd |    4 
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 8 files changed, 370 insertions(+), 300 deletions(-)

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New package tangles with initial version 2.0.1
Package: tangles
Title: Anonymisation of Spatial Point Patterns and Grids
Version: 2.0.1
Date: 2025-05-28
Description: Methods for anonymisation of spatial datasets while preserving spatial structure and relationships. Original coordinates or raster geometries are transformed using randomized or predefined vertical shifts, horizontal shifts, and rotations. Compatible with point-based data in 'matrix', 'data.frame', or 'sf' formats, as well as 'terra' raster objects. Supports reversible anonymisation workflows, hash-based validation, shapefile export, and consistent tangling across related datasets using stored transformation sequences. Approach informed by the De-Identification Decision Making Framework (CM O’Keefe, S Otorepec, M Elliot, E Mackey, and K O’Hara 2017) <doi:10.4225/08/59c169433efd4>.
Depends: R (>= 4.0)
Imports: terra, sf, digest
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
License: GPL-2
Encoding: UTF-8
LazyData: false
NeedsCompilation: no
Packaged: 2025-05-29 00:27:53 UTC; mal181
Author: Brendan Malone [aut, cre]
Maintainer: Brendan Malone <brendan.malone@csiro.au>
Repository: CRAN
Date/Publication: 2025-06-02 07:50:02 UTC

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New package statlingua with initial version 0.1.0
Package: statlingua
Title: Explain Statistical Output with Large Language Models
Version: 0.1.0
Description: Transform complex statistical output into straightforward, understandable, and context-aware natural language descriptions using Large Language Models (LLMs), making complex analyses more accessible to individuals with varying statistical expertise. It relies on the 'ellmer' package to interface with LLM providers including OpenAI <https://openai.com/>, Google AI Studio <https://aistudio.google.com/>, and Anthropic <https://www.anthropic.com/> (API keys are required and managed via 'ellmer').
Depends: R (>= 4.1.0)
License: GPL (>= 2)
URL: https://github.com/bgreenwell/statlingua, https://bgreenwell.github.io/statlingua/
Encoding: UTF-8
Suggests: car, ellmer (>= 0.2.0), ISLR2, knitr, lme4, lmerTest, MASS, mgcv, nlme, R6, rmarkdown, survival, tibble, tinytest
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-05-29 02:08:25 UTC; bgreenwell
Author: Brandon M. Greenwell [aut, cre]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-02 07:50:06 UTC

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Package cna updated to version 4.0.3 with previous version 4.0.0 dated 2025-04-04

Title: Causal Modeling with Coincidence Analysis
Description: Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>, and generalized in Baumgartner & Ambuehl (2020) <doi:10.1017/psrm.2018.45>. CNA is designed to recover INUS-causation from data, which is particularly relevant for analyzing processes featuring conjunctural causation (component causation) and equifinality (alternative causation). CNA is currently the only method for INUS-discovery that allows for multiple effects (outcomes/endogenous factors), meaning it can analyze common-cause and causal chain structures. Moreover, as of version 4.0, it is the only method of its kind that provides measures for model evaluation and selection that are custom-made for the problem of INUS-discovery.
Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph], Ruedi Epple [ctb], Veli-Pekka Parkkinen [ctb], Alrik Thiem [ctb]
Maintainer: Mathias Ambuehl <mathias.ambuehl@consultag.ch>

Diff between cna versions 4.0.0 dated 2025-04-04 and 4.0.3 dated 2025-06-02

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 inst/doc/cna.pdf   |binary
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 7 files changed, 57 insertions(+), 37 deletions(-)

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Package saros updated to version 1.5.3 with previous version 1.5.1 dated 2025-02-12

Title: Semi-Automatic Reporting of Ordinary Surveys
Description: Offers a systematic way for conditional reporting of figures and tables for many (and bivariate combinations of) variables, typically from survey data. Contains interactive 'ggiraph'-based (<https://CRAN.R-project.org/package=ggiraph>) plotting functions and data frame-based summary tables (bivariate significance tests, frequencies/proportions, unique open ended responses, etc) with many arguments for customization, and extensions possible. Uses a global options() system for neatly reducing redundant code. Also contains tools for immediate saving of objects and returning a hashed link to the object, useful for creating download links to high resolution images upon rendering in 'Quarto'. Suitable for highly customized reports, primarily intended for survey research.
Author: Stephan Daus [aut, cre, cph] , Julia Silge [ctb] , David Robinson [ctb] , Nordic Institute for The Studies of Innovation, Research and Education [fnd], Kristiania University College [fnd]
Maintainer: Stephan Daus <stephus.daus@gmail.com>

Diff between saros versions 1.5.1 dated 2025-02-12 and 1.5.3 dated 2025-06-02

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 tests/testthat.R                    |    8 +-
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 19 files changed, 390 insertions(+), 415 deletions(-)

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